Turn resolved Jira tickets into a searchable knowledge base

Completed Jira tickets are automatically indexed so past solutions can be found and reused instead of solved twice.

How the work actually flows

A straight line. Runs once per each completed jira ticket.

Pattern: Sequence (1) ยท Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(["scheduled check for completed tickets"]):::trigtime s0[["pull ticket summary and comments"]]:::mi s1["convert text to embeddings"]:::task s2[("store in knowledge base")]:::store trig --> s0 s0 --> s1 s1 --> s2 out[/"growing searchable knowledge base"/]:::out pay{{"avoid solving the same issue twice"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepRuns once per itemA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Knowledge Base & RAGProject & Task Management
Connects
JiraOpenAIPinecone

The problem it solves

Every time a support or engineering issue gets resolved, the answer often lives buried in a closed Jira ticket that nobody thinks to search. Your team ends up solving the same problem again because the old answer isn't easy to find. This keeps a running, searchable record of everything you've already solved.

Who it fits

Support or engineering teams who want to reuse past ticket resolutions instead of solving the same issue twice.

How it works

  1. On a regular schedule, the automation checks for newly completed Jira tickets
  2. It pulls the summary, description, and comments from each one
  3. The text is converted into a searchable format using OpenAI
  4. It's stored in Pinecone alongside your existing knowledge base
What you get

Support answers pulled up instead of rebuilt

Your team's resolved Jira tickets become a searchable library, so past fixes are found and reused instead of solved all over again.

What you get

A continuously growing, searchable knowledge base built from your resolved Jira tickets.

What you need

A Jira account, an OpenAI API key, and a Pinecone account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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